利用BP网络较好的分类能力,结合国内股票市场的特性,对于沪市综合指数涨跌的预测进行了初步探讨.大量数值实验结果表明,人工神经网络应用于中国股票市场的预测是可行和有效的,有着良好的前景.%The authors utilize the good classification capability ofmultilayer feedforward back-propagation neural networks to forecast the ups and downs of the Shanghai Stock Index. The theoretical results and the numerical experiments show that ar tificial neural networks are feasible and efficient for the prediction of the Chinese stock market.
展开▼
